Results 141 to 150 of about 51,928 (231)

NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments. [PDF]

Sci Rep
Yu X, Tang L, Mi J, Long L, Qin X, Li X, Mo Q.   +6 more
europepmc   +1 more source

Enhanced distance protection for HVDC lines using adaptive neuro-fuzzy inference systems. [PDF]

PLoS One
Hamada AM, Abdel-Fattah MI, El-Rifaie AM, Elsayed F, El-Bendary MAM, Ismail TAA, Ahmed I, Ahmed MMR.   +7 more
europepmc   +1 more source

A neuro-fuzzy multi-topology adaptive routing framework for QoS-aware healthcare IoT communications. [PDF]

Sci Rep
Parveen MS, Bhuvaneswari PTV.
europepmc   +1 more source

Design of a hybrid learning model for establishing consistency in smart grid environment. [PDF]

Sci Rep
Mahendran S, Gomathy B.
europepmc   +1 more source

Artificial neural network modeling and optimization of an electrochemical biosensor for plasma miR-155-based breast cancer detection. [PDF]

Sci Rep
Imani A, Hosseinpour S, Azimzadeh M, Salehi A.   +3 more
europepmc   +1 more source

Pulse Wave Velocity Estimation in a Controlled In Vitro Vascular Model: Benchmarking Machine Learning Approaches. [PDF]

Sensors (Basel)
Barvik D, Černý M, Prochazka M, Noury N.   +3 more
europepmc   +1 more source

A novel adaptive neuro-fuzzy and adaptive proportional resonant control scheme for PMSM based electric vehicle applications. [PDF]

Sci Rep
Sangeetha E, Ramachandran VP.
europepmc   +1 more source

Semi-Automatic System for ZnO Nanoflakes Synthesis via Electrodeposition Using Bioinspired Neuro-Fuzzy Control. [PDF]

Biomimetics (Basel)
Hernández-Rodríguez YM, Garcia-Tejeda YV, Baños-López E, Cigarroa-Mayorga OE.   +3 more
europepmc   +1 more source

Mitigating Neural Habituation in Insect Bio-Bots: A Dual-Timescale Adaptive Control Approach. [PDF]

Biomimetics (Basel)
Triet LM, Truong Thinh N.
europepmc   +1 more source

Methodology for Training a Neuro-Fuzzy Control System for a Diesel-Generator Unit Under Variable Operating Conditions

Збірник наукових праць Державного університету інфраструктури та технологій: серія "Транспортні системи і технології"
This paper presents a methodology for constructing and training a neuro-fuzzy control system for a diesel-generator unit operating under variable railway conditions.
Andrii Zalata
doaj